Deep Learning Enhanced IoT Network Security
Everything. Everytime. Everywhere.
DIONA team. odtu
zero compromises.
Prepare for a new era of IoT security.
What is DIONA ?
DIONA is a deep learning system enhancing IoT network security by real-time detection and response to intrusions. It scrutinizes device behavior and network traffic to swiftly react to threats, ensuring robust performance and accuracy.
MULTI-layer Network protection
With Static and Dynamic Traffic Rules and
Deep Learning engines we provide you with the most security available to your company .
REAL-time protection
DIONA analyzes the IoT behavior using the telemetries it receives via Deep Learning technologies providing you with a real-time view of your network.
ıot Behavioral analysis
DIONA analyzes the IoT behavior using the telemetries it receives via Deep Learning technologies providing you with a real-time view of your network.
Monitoring
Analyze the system behavior in real time using the bleeding edge technologies in time-series based databases
Some of Our Sample Project
Influx-data time-series monitoring and Alerting system
Grafana dashboard
Get to know DIONA
– DIONA workflow
- Telemetry Collection
DIONA uses MQTT protocol to gather IoT device telemetries.
- data analysıs
Deep learning engines analyze telemetry data and MQTT messages for
anomalies.
- INSIGHT GENERATION
DIONA identifies potential threats based on these analyses.
- ALERT MANAGEMENT
The TICK stack processes the data, generating real-time analytics and alerts.
- THREAT RESPONSE
Alerts enable security analysts to quickly respond to potential attacks,
safeguarding the IoT network.
- Tech stack
Mohamed Aly Amin
Mert Demirtaban
Emre Gülben
PROMO
Prof. Dr. Cevat ŞENER
Get to know the team
Supervisors
Prof. Dr. Meltem Turhan Yöndem
Tuğrahan Görkem Türkmen
Ozan Tamer Yiğit
Oğuzhan Yıldız
